Multivariate Statistical Analysis in the Real and Complex Domains

• Format: eBook
• Language: English
• Published: Cham Springer Nature 2022
• Subjects: Applied mathematics; Probability and statistics; Statistical physics; classifications; cluster; complex domain; factor analysis; Gaussian distributions; mathematical statistics; matrix-variate; multivariate statistical analysis; profile analyses; type-1 distributions; type-2 distributions; Wishart distribution
• Online Access: Open Access: DOAB: description of the publication; Open Access: DOAB, download the publication
• Physical Description: 1 online resource (912 p.)
• ISBN: 978-3-030-95864-0; 9783030958640
• Access: Open Access

This book explores topics in multivariate statistical analysis, relevant in the real and complex domains. It utilizes simplified and unified notations to render the complex subject matter both accessible and enjoyable, drawing from clear exposition and numerous illustrative examples. The book features an in-depth treatment of theory with a fair balance of applied coverage, and a classroom lecture style so that the learning process feels organic. It also contains original results, with the goal of driving research conversations forward. This will be particularly useful for researchers working in machine learning, biomedical signal processing, and other fields that increasingly rely on complex random variables to model complex-valued data. It can also be used in advanced courses on multivariate analysis. Numerous exercises are included throughout.